PT. Peace Industrial Packaging produces products according to the number of products requested by customers. The problems emerged because customer demand for an increase in the number of products to be distributed suddenly makes production results unable to reach the target or product requests. This research requires data on demand and production results from January 2018 to December 2020. The research will begin with selecting the right forecasting method using SMA, DMA, WMA, SES, DES, Cyclic, Linear, Quadratic, Decomposition, and ANN methods. After selecting the correct forecasting method with the smallest error value, the right aggregate and disaggregate planning will be made, MRP, RCCP and CRP capacity planning to determine if the capacity is enough to meet demand. The best calculation result for the forecasting method with the smallest error value is ANN. The selected aggregate planning is mixed aggregate planning with a total cost of 484,458,570,063. Rough-cut capacity planning for CPOF, BOLA, and RPA methods have a shortage of resources in January and May for mixing machines. Material requirement planning used is Silver Meal. Capacity requirement planning has a shortage of resources in January and May for mixing machines.

Keywords: Aggregate, Artificial Neural Network, Capacity Requirement Planning, Rough Cut Capacity P, Silver Meal